Use of MADM in the purchase of new equipment

ABDULLAH AL MAHMUD

Bakalářská práce

Abstract:

Purchasing goods from numerous options is very difficult in this modern era. Because options are laid very closely for their similar pricing and specifications. For getting the solution in this condition we need something that can provide us solution according to our given priority attributes and affordability. It should be highlighted that there is rarely a single definitive criterion for selecting the best option, and decision-makers must consider a variety of criteria, including technological, economic, ethical, political, legal, and social issues. Simple, systematic, and logical solutions are required techniques or mathematical tools to assist decision-makers in weighing a variety of options of criteria for selection and their interrelationships. Any selection technique has the goal of identifying acceptable selection criteria and obtaining the best combination of criteria with the real demand. MADM has proved itself as a viable strategy for addressing a wide range of multi-criteria decision-making and ranking issues. Our primary goal of this paper was to use a multi-attribute decision-making approach or MADM for the purchase of new equipment using the TOPSIS method. We can consider MADM application can be utilized in other complex data environments and any 3rd party website or organization can use this procedure to assist their customers or users to find suitable products according to their needs. Furthermore, this procedure provides researchers with information on variables that are relevant to e-commerce companies looking for a new product to launch in their business.

Keywords

MADM, MCDM, TOPSIS, VIKOR, PROMETHEE, Fuzzy Multiple Criteria Decision Making, Analytic Hierarchy Process

Jazyk práce: angličtina

Datum vytvoření / odevzdání či podání práce: 15. 3. 2022

Obhajoba závěrečné práce

• Vedoucí: Ing. Jiří Fejfar, Ph.D.

Česká zemědělská univerzita v Praze

Provozně ekonomická fakulta

Bakalářský studijní program / obor:
Systems Engineering and Informatics / Informatics